Skillier.ai and Unabyss are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.
Skillier sits between you and your AI client, detecting what domain you're working in and loading the relevant skill — finance modeling, legal reasoning, DevOps runbooks — into the context without you leaving the interface. The Lite version is MIT-licensed and runs offline, which matters for air-gapped environments where cloud-dependent tooling is a non-starter. The routing model hands control back through an AskUserQuestion prompt, so you confirm the skill selection rather than having it decided for you. That model works cleanly for single-domain sessions. Blended workflows — writing copy while checking financial assumptions, for instance — require you to manually re-route between skills, and the seams show.
The scraped page content provided does not match the tool described in the structured data: the page describes 'Spotter,' a travel-identification app, not the context-infrastructure layer attributed to Unabyss. No production details, integration specifics, API behavior, or access-control mechanics for the named tool can be sourced from the provided content. Any description of how the tool retrieves context, gates permissions, or connects to Cursor and Claude Code would be fabricated. What the validator context does confirm: the tool is a passive retrieval and permission-gating system, not an agent — it feeds context to external tools rather than executing tasks on its own.
Attribute
Skillier.ai
Unabyss
Pricing
Paid
Paid
Price
—
$5 credits free; pay-as-you-go after
Free trial
No
No
Open source
No
No
Has API
No
Yes
Self-hosted option
Yes
No
Platforms
Claude Desktop, Claude Web, Claude Code CLI, OpenClaw
Web-based SaaS; integrates with Claude, Cursor, Claude Code, OpenClaw, Perplexity, ChatGPT, GitHub, Gemini, VS Code, and 100+ other tools
Released
—
2026-05-25
Pros
Offline skill access via the self-hostable Lite version, so air-gapped teams and low-connectivity environments can load domain expertise without a live API call — something cloud-only tools in this category cannot offer.
Skill routing that triggers without leaving the chat interface, which means the context window you've built up in a session doesn't get abandoned every time you need to shift to a different domain.
MIT-licensed Lite version with no paid tier required, so teams that need to audit, fork, or self-host the code have a legal path to do that without a procurement conversation.
Explicit AskUserQuestion confirmation before a skill loads, so you stay in control of what gets injected into context — preventing the silent prompt stuffing that degrades output quality when auto-routing guesses wrong.
Passive context retrieval architecture, so external agents like Cursor and Claude Code pull relevant project state on demand rather than requiring manual re-entry at the start of every session — eliminating the token waste of repeated context dumps.
API availability means the context layer can be called programmatically, so teams can wire it into CI pipelines or custom tooling rather than depending on a GUI for every retrieval.
Granular access control, per the validator context, so a sales agent reading call transcripts does not expose engineering architecture decisions to the wrong workflow — reducing the blast radius of a misconfigured agent.
Cons
Multi-domain sessions hit the routing model's friction ceiling fast: each skill switch requires a confirmation prompt, so a workflow that blends financial modeling with technical writing generates repeated interruptions — teams doing this regularly report falling back to manual context pasting because it's faster.
No API surface is described, which means teams who want to embed skill routing inside a pipeline, a CI step, or any system outside Claude Desktop and Claude Web have no integration path — at that point they are looking at building their own context-injection layer or switching to a tool that exposes programmatic control.
Scoped exclusively to Claude Desktop and Claude Web at time of review, so organizations standardized on other AI clients — GPT-4 via ChatGPT, Gemini, or internal models — get no benefit and need a different solution entirely.
No self-hosted option, per the structured data — teams under strict data-residency requirements or air-gapped compliance mandates hit this wall immediately and move to a self-hosted alternative before running a single production workflow.
The scraped page content does not match this tool, which means the vendor's own documentation or marketing surface may be inconsistent or incomplete — teams evaluating edge cases like concurrent agent access, context versioning, or retrieval latency under load will find precious little published guidance and must test blind or wait for vendor support.
Bottom line
Only Unabyss exposes a public API. Choose based on which difference matters most for your workflow.
Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.
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